Quantitative Research

Group/Division/Type: Quantitative Research

New York City,
United States

Interviewed: August 2018

Overall experience



Very Difficult

General Interview Information


Declined Offer

Interview Source

College / University / On Campus Recruiting

Length of Process

2-3 months

Interview Details

What did the interview consist of?
Phone Interview
1 on 1 Interview
Skills Test
Background Check
Please describe the interview / hiring process.
Interview process started with a phone screen that began with a series of mental math questions (think quickly computing nth roots in your head, undergrad level probability questions, etc.). After that, was called on to an onsite that consisted of a day full of hour long interviews, along with an exam in between. The interview process was very thorough: tested me on advanced probability concepts, math proofs, data science/analysis capabilities, details of how very specific machine learning algorithms work, and grad level algorithm problems (my background is in computer science). The interviewers were kind but unyielding and would provide few hints.

Afterwards, I was asked to complete a background check (prior to receiving the offer) and was also asked for 5 letters of recommendation (the 5 part was suggested but not required, and I only submitted 4 which ended up working out fine).

Want Access to these D.E. Shaw Interview Insights?

Was this interview insight helpful?

No votes have been submitted yet.

Other Interview Data

Associate (Vice President)

Goldman Sachs 2016 CHICAGO

Quantitative Strategist (Vice President)

Morgan Stanley 2020 NA

Risk Management (Vice President)

TD Bank 2019 New York

interest rates swaps trader (Vice President)

Barclays Capital 2016 New York

Quantitative Investment Strategies (Vice President)

Goldman Sachs 2013 New York